Our work has some limitations that also indicate the way for future work. First, we have limited our study to data describing contact between individuals. However, these data cover a broad range of contexts, have widely different temporal properties [1]}, and are particularly relevant for simulations of epidemic spread. Second, we have considered only a limited number of backbone and surrogate construction methods. We sought to keep the methods parsimonious, so one could consider other backbone extraction methods, taking, e.g., temporal variations of the activities into account [2]}. Finally, networks could support other types of processes, such as synchronization or complex contagion, which might also involve higher-order structures going beyond ties [3]}, [4]}. Correctly reproducing the outcome of such processes from a network summary might require the development of backbones of significant structures and corresponding new surrogate data construction methods.
